COURSE · PHASE 3
AIOps Foundation
This course introduces the history, core technologies, organizational challenges and strategies for applying artificial intelligence to IT Operations. It covers Big Data, Machine Learning, Generative AI, automation and optimization, alongside AIOps use cases, implementation considerations and performance metrics. Practical, real-world exercises help learners apply the concepts, with sample documents, templates, tools and techniques provided for use after class. The course prepares learners for the AIOps Foundation certification exam.
FROM THE CURRENT BROCHURE
Know what the experience covers before you download.
These highlights are drawn from the current approved course brochure and are designed to support an informed first conversation.
COURSE HIGHLIGHTS
The capabilities and outcomes in focus.
- 01
the basic concepts, industry contexts, and key principles of AIOps
- 02
the concepts and principles of core technologies required for AIOps implementation
- 03
the changes in organizational mindset and required skill sets for deploying AIOps
- 04
how to evaluate the performance of an AIOps implementation using industry standard metrics
- 05
the challenges and opportunities that arise when looking to deploy AIOps in the organization
- 06
key considerations and strategies required to succeed in promoting and delivering AIOps in your organization
WHAT YOU'LL EXPLORE
A clear route through the key topics.
- 01Module 1: AIOps Foundation
- 02Module 2: AIOps in the organization
- 03Module 3: Core technologies: Data
- 04Module 4: Core Technologies: Machine Learning (ML) and Generative AI (GenAI)
- 05Module 5: AIOPs and operations metrics
- 06Module 6: AIOps use cases and organizational mindset
- 07Module 7: Evaluating AIOps’ impact
- 08Module 8: Implementing AIOps in the organization